论四值动态代价分析方法

本文在文献[10]的基础上,着重论述了四值动态代价分析方法引进故障电路代价FC和故障可测度T的新概念的必要性。并从预报数字电路中的不可测故障、提高故障敏化效率和选取引线置值模式的效率三方面,对四值分析与文献[1]的二值分析进行了详细比较,结论是:四值分析定义的可测度比二值更接近数字电路实际,加速测试生成的效果更好。实践表明,四值分析用于自动测试生成系统ATGS,所节省的计算机CPU时间为二值分析的3倍。     

语音信号相空间重构中时间延迟选择的改进的平均位移法

本文在分析时间序列相空间重构中的时间延迟选取的平均位移法基础上,对该法的原有度量进行改进,得到较好的求时间延迟的准则。改进的平均位移法具有更强的理论依据;应用于语音信号相空间重构的仿真实验表明,其度量一般情况下可得到合适的时间延迟。     

数据包络分析(DEA)方法在导弹武器系统参数-费用分析中的应用

采用ＤＥＡ方法,计算和分析了国外几种典型导弹武器系统的研制费用与其性能参数的关系,与回归方法相比有明显的优点     

长杆射弹侵彻三种混凝土靶的实验研究

为了研究钻地武器的侵彻性能,在57mm口径的气炮上发射长杆射弹对三种靶体进行模拟侵彻实验。靶体为水泥砂浆石靶、钢纤维混凝土靶和含单层密排刚玉球的钢纤维混凝土靶。实验结果表明,弹头形状对侵彻深度有明显影响;当长杆射弹和撞击速度都相同时,与侵彻钢纤维混凝土靶相比,含单层密排刚玉球的钢纤维混凝土靶中的侵彻深度大约降低了11%,而水泥砂浆石靶中的侵彻深度增加了12%。     

关于=2~(1/2)的一种推导

应用一级近似下的泰勒级数及统计平均的概念 ,简明地推出公式 u =2 v 。     

Due‐window assignment with unit processing‐time jobs

In due‐window assignment problems, jobs completed within a designated time interval are regarded as being on time, whereas early and tardy jobs are penalized. The objective is to determine the location and size of the due‐window, as well as the job schedule. We address a common due‐window assignment problem on parallel identical machines with unit processing time jobs. We show that the number of candidate values for the optimal due‐window starting time and for the optimal due‐window completion time are bounded by 2. We also prove that the starting time of the first job on each of the machines is either 0 or 1, thus introducing a fairly simple, constant‐time solution for the problem. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

ANFIS网络在舰船维修费用预测中的应用

利用自适应模糊推理系统(ANFIS)的模糊推理能力和学习功能相结合的优点,运用于舰船维修费用预测中.分析了影响维修费用的因素,采用变量投影重要性分析方法(VIP)对影响因素进行评估和筛选,使用ANFIS网络建立模型.通过实际算例进行分析,用历史数据训练ANFIS网络,预测舰船维修费用,在数据样本量小的情况下,较一般神经网络精度有明显提高.     

A critical look at the U.S. deceased‐donor organ procurement and utilization system

The U.S. system for procuring and utilizing deceased‐donor organs for transplantation has been studied and written about in many articles. The purpose of this paper is to examine the interactions between the elements that comprise this system, and point out improvement opportunities that may be affected through operations research/management techniques. The authors demonstrate the need for developing data‐driven and analytic tools. In fact, data is used to generate hypotheses and support claims throughout the paper. The paper also points out the need to fully leverage data that is available to researchers, and to seek data that is currently not deposited in a centralized archive.     

Appointment scheduling at a multidisciplinary outpatient clinic using stochastic programming

The purpose of this paper is to investigate the problem of constructing an appointment template for scheduling patients at a specific type of multidisciplinary outpatient clinic called an integrated practice unit (IPU). The focus is on developing and solving a stochastic optimization model for a back pain IPU in the face of random arrivals, an uncertain patient mix, and variable service times. The deterministic version of the problem is modeled as a mixed integer program with the objective of minimizing a weighted combination of clinic closing time (duration) and total patient waiting time (length of stay). A two‐stage stochastic program is then derived to account for the randomness and the sequential nature of the decisions. Although it was not possible to solve the two‐stage problem for even a limited number of scenarios, the wait‐and‐see (WS) problem was sufficiently tractable to provide a lower bound on the stochastic solution. The introduction of valid inequalities, limiting indices, and the use of special ordered sets helped to speed up the computations. A greedy heuristic was also developed to obtain solutions much more quickly. Out of practical considerations, it was necessary to develop appointment templates with time slots at fixed intervals, which are not available from the WS solution. The first to be derived was the expected value (EV) template that is used to find the expected value of the EV solution (EEV). This solution provides an upper bound on the objective function value of the two‐stage stochastic program. The average gap between the EEV and WS solutions was 18%. Results from extensive computational testing are presented for the EV template and for our adaptation of three other templates found in the literature. Depending on the relative importance of the two objective function metrics, the results demonstrate the trade‐off that exists between them. For the templates investigated, the “closing time” ranged from an average of 235 to 275 minutes for a 300‐minute session, while the corresponding “total patient time in clinic” ranged from 80 to 71 minutes.     

社会历史发展中价值实现的辩证性

马克思创立的唯物史观富有深刻的价值内涵,一部社会发展史就是一部价值实现的历史。人类历史发展过程中价值的实现并不是一帆风顺的,是一个付出代价和扬弃代价的辩证过程,需要人们权衡利弊进行正确的价值选择,从而为社会进步谋求一条更好的发展之路。